Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 08 Oct 2009 14:54:17 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/08/t1255035427s4p3z56skz8nl2y.htm/, Retrieved Mon, 29 Apr 2024 03:53:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=44957, Retrieved Mon, 29 Apr 2024 03:53:52 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W21
Estimated Impact128
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2009-10-08 20:54:17] [a0577a728571d1f3a39246738c9fa77a] [Current]
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Dataseries X:
1,61
1,58
1,69
1,78
1,76
1,83
1,8
1,57
1,45
1,4
1,55
1,58
1,58
1,59
1,8
1,99
2,06
2,06
2,08
2
1,85
1,77
1,7
1,66
1,67
1,73
1,91
2,02
2,07
2,15
2,1
1,68
1,68
1,65
1,72
1,73
1,76
1,84
1,99
2,05
2,12
2,13
2,08
1,88
1,81
1,81
1,88
1,87
1,87
1,9
2,01
2,05
2,16
2,18
2,15
2,12
2,04
2,04
2,06
1,93
1,86
1,94
2,35
2,46
2,59
2,66
2,41
2,18
2,13
2,11
2,12
2,16
2,07
2,2
2,29
2,32
2,37
2,38
2,38
2,28
2,22
2,25
2,3
2,3
2,23
2,27
2,3
2,32
2,41
2,43
2,45
2,47
2,46
2,5
2,46
2,43
2,37
2,45
2,53
2,56
2,62
2,67
2,62
2,6
2,53
2,49
2,48
2,44




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=44957&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=44957&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=44957&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1.4,1.6[1.580.0740740.0740740.37037
[1.6,1.8[1.7150.1388890.2129630.694444
[1.8,2[1.9180.1666670.379630.833333
[2,2.2[2.1270.250.629631.25
[2.2,2.4[2.3170.1574070.7870370.787037
[2.4,2.6[2.5180.1666670.9537040.833333
[2.6,2.8]2.750.04629610.231481

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1.4,1.6[ & 1.5 & 8 & 0.074074 & 0.074074 & 0.37037 \tabularnewline
[1.6,1.8[ & 1.7 & 15 & 0.138889 & 0.212963 & 0.694444 \tabularnewline
[1.8,2[ & 1.9 & 18 & 0.166667 & 0.37963 & 0.833333 \tabularnewline
[2,2.2[ & 2.1 & 27 & 0.25 & 0.62963 & 1.25 \tabularnewline
[2.2,2.4[ & 2.3 & 17 & 0.157407 & 0.787037 & 0.787037 \tabularnewline
[2.4,2.6[ & 2.5 & 18 & 0.166667 & 0.953704 & 0.833333 \tabularnewline
[2.6,2.8] & 2.7 & 5 & 0.046296 & 1 & 0.231481 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=44957&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][1.4,1.6[[/C][C]1.5[/C][C]8[/C][C]0.074074[/C][C]0.074074[/C][C]0.37037[/C][/ROW]
[ROW][C][1.6,1.8[[/C][C]1.7[/C][C]15[/C][C]0.138889[/C][C]0.212963[/C][C]0.694444[/C][/ROW]
[ROW][C][1.8,2[[/C][C]1.9[/C][C]18[/C][C]0.166667[/C][C]0.37963[/C][C]0.833333[/C][/ROW]
[ROW][C][2,2.2[[/C][C]2.1[/C][C]27[/C][C]0.25[/C][C]0.62963[/C][C]1.25[/C][/ROW]
[ROW][C][2.2,2.4[[/C][C]2.3[/C][C]17[/C][C]0.157407[/C][C]0.787037[/C][C]0.787037[/C][/ROW]
[ROW][C][2.4,2.6[[/C][C]2.5[/C][C]18[/C][C]0.166667[/C][C]0.953704[/C][C]0.833333[/C][/ROW]
[ROW][C][2.6,2.8][/C][C]2.7[/C][C]5[/C][C]0.046296[/C][C]1[/C][C]0.231481[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=44957&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=44957&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1.4,1.6[1.580.0740740.0740740.37037
[1.6,1.8[1.7150.1388890.2129630.694444
[1.8,2[1.9180.1666670.379630.833333
[2,2.2[2.1270.250.629631.25
[2.2,2.4[2.3170.1574070.7870370.787037
[2.4,2.6[2.5180.1666670.9537040.833333
[2.6,2.8]2.750.04629610.231481



Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
dev.off()
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')